Bangla-RAG/PoRAG
📦 Open Source ProjectBangla-RAG
A fully configurable RAG pipeline specifically optimized for Bengali language applications using LangChain.
PoRAG addresses the unique challenges of processing Bengali text within AI pipelines. It provides a flexible architecture that allows developers to swap between local models and cloud-based Hugging Face endpoints, ensuring versatility for different hardware constraints. The framework is built on top of LangChain, utilizing its powerful orchestration capabilities to manage document loading, text splitting, and retrieval processes. Key technical features include seamless integration with ChromaDB for efficient vector storage and retrieval, and native support for Bengali-specific tokenization and embedding workflows. By offering a modular design, PoRAG allows users to customize every stage of the RAG pipeline, from the initial ingestion of Bengali documents to the final generation phase. This makes it an essential tool for developers aiming to build chatbots, search engines, or analytical tools that require high-accuracy Bengali language understanding and generation.
💡Highlights
- ├─Native Bengali NLP support
- ├─Local & HuggingFace model support
- └─Modular LangChain-based pipeline
🎯For
- ├─NLP Researchers
- └─Bengali AI Developers